An Optimum 2D Color Space for Pattern Recognition


This paper presents an optimum color conversion from the 3D RGB space into a 2D selected space to the purpose of pattern recognition. The method is based on the Karhunen-Loève transform (KLT), also known as Principal Component Analysis (PCA). The resulted 2D space is defined by the two color components (called C1 and C2), corresponding to the two largest… (More)


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